Energy-Saving and Efficient Underwater Wireless Sensor Network Security Data Aggregation Model

Due to the inherent characteristics of resource constrained sensors, communication overhead has always been a major problem in underwater wireless sensor networks. Data aggregation is an important technology to reduce communication overhead and prolong network lifetime. In addition, due to the low bandwidth and high bit error rate transmission characteristics of underwater wireless media, underwater sensor nodes are more vulnerable to malicious attacks. Therefore, for such applications, data aggregation protocol must be energy-saving and efficient, and can prevent adversaries from stealing private data held by each sensor node. To solve this problem, this paper proposes an improved Energy-efficient Slice-Mix-Aggregate (ESMART) algorithm, which dynamically adjusts the number of data slices according to the amount of data sensed by the sensor nodes, which makes the total data transmission volume in the network lower than that of SMART (Slice-Mix-Aggregate) algorithm, that is, it does not introduce significant overhead on the sensor with limited energy, while maintaining the data security.